Dr. Moe Z. Win

Massachusetts Institute of Technology (MIT), USA

Moe Z. Win is a Professor at the Massachusetts Institute of Technology (MIT) and the founding director of the Wireless Information and Network Sciences Laboratory. Prior to joining MIT, he was with AT&T Research Laboratories and NASA Jet Propulsion Laboratory.
His research encompasses fundamental theories, algorithm design, and network experimentation for a broad range of real-world problems. His current research topics include network localization and navigation, network interference exploitation, and quantum information science. He has served the IEEE Communications Society as an elected Member-at-Large on the Board of Governors, as elected Chair of the Radio Communications Committee, and as an IEEE Distinguished Lecturer. Over the last two decades, he held various editorial positions for IEEE journals and organized numerous international conferences. Currently, he is serving on the SIAM Diversity Advisory Committee.
Dr. Win is an elected Fellow of the AAAS, the IEEE, and the IET. He was honored with two IEEE Technical Field Awards: the IEEE Kiyo Tomiyasu Award (2011) and the IEEE Eric E. Sumner Award (2006, jointly with R. A. Scholtz). Together with students and colleagues, his papers have received numerous awards. Other recognitions include the IEEE Communications Society Edwin H. Armstrong Achievement Award (2016), the International Prize for Communications Cristoforo Colombo (2013), the Copernicus Fellowship (2011) and the Laurea Honoris Causa (2008) from the Universita` degli Studi di Ferrara, and the U.S. Presidential Early Career Award for Scientists and Engineers (2004). He is an ISI Highly Cited Researcher.

Dr. Liuqing Yang

Colorado State University, USA

Professor at Colorado State University, She won the Art Corey Outstanding International Contributions Award, Colorado State Univ. (2016), Best Paper Award at the International Conference on Wireless Communications and Signal Processing (WCSP 2016), Best Paper Award at the IEEE International Conference on Communications (ICC 2016), IEEE ICNC 2016 Service Appreciation Award, IEEE ICNC 2015 Service Appreciation Award, Fellow of the Institute of Electrical and Electronics Engineers (2014), Distinguished Lecturer, IEEE Communications Society (2014), Best Paper Award at the IEEE Global Communications Conference (Globecom 2014), Best Paper Award at the IEEE International Conference on Intelligent Transportation Systems (2014), Best Paper Award at the IEEE/CIC International Conference on Communications in China (2013). George T. Abell Outstanding Mid-Career Faculty Award, Colorado State Univ. (2012), IEEE GLOBECOM 2010 Outstanding Service Award, NSF Faculty Early Career Development (CAREER) Award (2009), Jack Wessel Excellence Award, Univ. of Florida (2009), Dean's Honor Roll for Teaching Excellence, Univ. of Florida (2008), ONR Young Investigator Program (YIP) Award (2007), National Research Council/AFOSR Summer Faculty Fellowship Award (2007), Best Paper Award at the International Conference on UWB (2006), Best Dissertation Award in the Physical Sciences & Engineering, Univ. of Minnesota (2005), ADC Fellowship in Wireless & Networking Tech., University of Minnesota (2003).
Collective Intelligence for Situational Awareness in Autonomous Driving

Dr. Nelson Fonseca


Full Professor at Institute of Computing of The State University of Campinas, Campinas – Brazil. He is an IEEE Communications Society Distinguished Lecturer. He received the IEEE Communications Society Joseph LoCicero Award for Exemplary Service to Publications, the IEEE Communications Society Latin America Region Distinguished Service Award, the Medal of the Chancelor of the University of Pisa (2007), the 2003 State University of Campinas Zeferino Vaz award for academic productivity in Computer Science, the Elsevier Computer Network Journal Editor of Year 2001 award. As student, he also received the 1994 University of Southern California International Book award and the Brazilian Computer Society First Thesis and Dissertations award. He was Keynote Speaker for the conferences IEEE NOMS 2014, IEEE LATINCOM 2013, IEEE ANDESCOM 2006, IWT 2007, Wperfromance, SBRT 2003.
Networking in the Big Data Era

Dr. Hong Yang

Nokia Bell Labs, USA

Works at Nokia Bell Labs. He previously worked at Lucent Technologies and Alcatel-Lucent, where he was with the Wireless Design Center, the Systems Engineering Department, and the Bell Labs Research. He is part of the Mathematics of Networks and Communications Research Department, Nokia Bell Labs, Murray Hill, NJ, USA, where he conducts research in communications networks. He has co-authored many research papers in wireless communications, applied mathematics, control theory, and financial economics. He co-invented many U.S. and international patents. He co-authored the book Fundamentals of Massive MIMO (Cambridge University Press, 2016). He won the following awards, 2013 IEEE Online Greencom Best Paper Award, 2010 Sprint Customer Team Award, 2000 Lucent Technologies 3rd Silver Award, 1999 Lucent Technologies CTS/PM Shining Star Award, 1998 Lucent Technologies CTS/PM Shining Star Award.
Supporting 5G Applications with Massive MIMO

Dr. Albert Wang

University of California, Riverside, USA

Albert Wang is a Professor of Electrical and Computer Engineering at University of California, Riverside, USA. His research covers AMS/RF ICs, integrated design-for-reliability, 3D heterogeneous integration, emerging nano devices and circuits, and LED visible light communications. He published one book and 250+ peer-reviewed papers, and holds fifteen U.S. patents. He served on editorial boards for IEEE Transactions on Circuits and Systems I, IEEE Electron Device Letters, IEEE Transactions on Circuits and Systems II, IEEE Transactions on Electron Devices and IEEE Journal of Solid-State Circuits. He has been IEEE Distinguished Lecturer for IEEE Electron Devices Society, IEEE Circuits and Systems Society and IEEE Solid-State Circuits Society. He is Sr. Past President (2018-2019) and was Jr. Past President (2016-2017) and President (2014-2015) for IEEE Electron Devices Society. He was Chair for the IEEE CAS Analog Signal Processing Technical Committee (ASPTC) and member of the International Technology Roadmap for Semiconductor (ITRS) Committee. He is a member for IEEE 5G Initiatives Committee and IEEE Fellow Committee. He was General Chair (2016) of IEEE RFIC Symposium. Wang received CAREER Award from National Science Foundation, USA. Wang is IEEE Fellow, AAAS Fellow, and Fellow of National Academy of Inventors.
VLC system-on-chip for IoT applications

MSEE Haydn Nelson

National Instruments

Haydn Nelson has a breadth of technical experience having worked at MIT in wireless research and computer architecture. Haydn Joined National Instruments in 2009 where he has worked as an engineer to bring RF communication prototyping and test products to market. Currently focused on Wireless Prototyping he continues his passion for helping drive RF, DSP, and SDR based applications as the Marketing Manager for SDR in the Americas at National Instruments.

Dr. Daniel Leon-Salas

Purdue University, USA

Professor in the School of Engineering Technology at Purdue University. "Best Live Demo Runner Up Award in the 2018 IEEE International Symposium on Circuits and Systems, Florence, Italy". He has won Outstanding Faculty in Discovery, School of Engineering Technology, Purdue University, 2014. National Science Foundation CAREER Award, 2011. Leadership Excellence Achievement Program (LEAP) Award from the Missouri Society of Professional Engineers, 2011. Outstanding Doctoral Dissertation Award, College of Engineering, University of Nebraska-Lincoln, 2007. First place, National Undergraduate Project Competition, IEEE International Conference on Electrical Engineering, Electronics and Computer Science (INTERCON), Trujillo, Peru, 1996.
Exploiting Solar Cell Luminescence for Optical Frequency Identification (OFID)